Triple

T11958569
Position Surface form Disambiguated ID Type / Status
Subject GNU NYU Ada Translator E284612 entity
Predicate implements P1417 FINISHED
Object Ada 2022 E8676 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ada 2022 | Statement: [GNU NYU Ada Translator, implements, Ada 2022]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ada 2022
Context triple: [GNU NYU Ada Translator, implements, Ada 2022]
  • A. ADA 2022
    ADA 2022 is the 2022 edition of Apple’s annual Apple Design Awards, which recognize outstanding app and game design across the Apple ecosystem.
  • B. Ada (programming language) chosen
    Ada is a statically typed, high-level programming language designed with strong support for reliability, safety, and real-time systems, widely used in mission-critical and embedded applications such as aerospace and defense.
  • C. Ada
    Ada is a small village in northwest Ohio, known as the home of Ohio Northern University.
  • D. Ada
    Ada is a small city in south-central Oklahoma known as the county seat of Pontotoc County and home to East Central University and the headquarters of the Chickasaw Nation.
  • E. Ada
    Ada is a competitive boxer known for her performances in the ring.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903681a00819098c2b5260e2ef834 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f471c931a88190a9d29262c62b9472 completed May 1, 2026, 9:26 a.m.
Created at: April 8, 2026, 9:45 p.m.